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Introducing Cortex

The self-improving retrieval layer built for next generation of AI.

Cortex is a retrieval layer with built-in memory for RAG that delivers fast, personalised, human like answers.

Delight users, remember their preferences, deliver mind blowing experiences to make them fall in love with your AI.

Learn More
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Give LLM apps the memory and retrievals they need & deserve. Out of the box.

One SDK. Zero wasted days tuning vector DBs, encoders, thresholds, weights, embedding fallbacks, evals or graphs. Just context-aware intelligence that actually works out of the box for your users.

Bye complexity.
Hello Cortex.

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Blazing-fast, self personalising retrievals across any knowledge

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Long-term, self improving memory
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Intelligence that grows with every user interaction
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No Frankenstein stack.
No boilerplate infra.

An adaptive retrieval layer that personalises with every user query, delivers accurate results, uses mixture-of-experts, and makes your AI app memorable.

Adapt to your users needs and continuously improve over time.
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PYTHON

from cortex import CortexClient
client = CortexClient(api_key="your-key")

# Store memory as context
client.remember(user_id="tenant123", content="I have upcoming sales appointments next week with Acme")

# Retrieve contextual insights and prep
client.query("Help me prepare for upcoming meetings. Also, where should I meet them?")

# → "Alex mentioned he has upcoming meetings with Acme."
# → "Found all relevant context and notes. Seems like Acme's concerned with the integrations."
# → "Alex is an expert at integrations! Let me prepare a sales pitch showcasing his work."
# → "Alex mentioned he likes Starbucks near South Park. I should suggest that for the meeting."

WHY IT MATTERS TO US?
Super intelligent AI isn’t about storing memory or
vanilla RAG — it's both.

It’s about knowing what to retrieve, when, and why.
That's Cortex.

We were tired of integrating memory and retrieval separately. Why wasn't there a 'Stripe' for the AI layer? A system where memories are stored automatically, context evolves over time, and you can simply call an API to retrieve knowledge without having to rebuild the whole stack or integrating memory separately into the retrieval engine. We wanted a plug-and-play retrieval layer that remembers previous conversations, preferences, and intents, without stitching together a dozen brittle components.

Before we opened up our SDK to other developers, we dogfooded our offering by building our own consumer application on top of it. Our app ended up on the front page of Product Hunt as "The Product of the Day" and eventually got voted as one of "The Best Personal Productivity Tools" on Product Hunt. From the start, we understood exactly how APIs need to behave and what kind of flexibility is required to build truly useful applications.

We’ve felt this pain firsthand. We know what it’s like to stitch together brittle pipelines, tweak retrieval thresholds endlessly, and fight latency just to make something usable. Every decision we made while building Cortext came from that experience—because we were our own first users. We’ve spent countless hours refining the smallest details, so developers don’t have to.

Over time, we collected thousands of pieces of user feedback. We used that feedback to fine-tune our architecture and optimize for real-world performance. Today, Cortex acts as the best retrieval engine in the world—with latencies under 40 milliseconds. After powering millions of search queries, we've learned how to blend personalized memory with lightning-fast human level search to make your app feel like it reads your mind. We didn’t just build a product—we built the infrastructure we wished we had when we started.

Real cases, real uses

Whether you’re building an AI app, agent, Cortex makes it memory-first to give your products real-world intelligence:

Your users don't want a chatbot—they want work done. Cortex powers intelligent, context-aware retrieval that actually gets things done. Using a mixture-of-experts architecture, Cortex dynamically chooses the best strategy to answer every question — whether it’s powering a customer support bot, a coding copilot, or a research assistant. Your users always get the right response, not just a response.

AI that uses mixture-of-experts to answer with highest quality precision

Cortex is built for modern Retrieval-Augmented Generation workflows, offering low-latency, high-precision recall across large corpora. Whether you're generating answers from enterprise wikis or ingesting technical documentation, Cortex gives your RAG stack a memory-aware, adaptive retrieval layer that learns what’s relevant—and gets it right the first time.

RAG pipelines that seamlessly work at scale

Stateless agents are stuck on repeat. Cortex equips your AI agents with memory and adaptive recall, so they learn from past tasks and queries to evolve into intelligent collaborators. Whether it’s an autonomous workflow bot or a research assistant, your agents get extremely intelligent over time.

AI agents that improve with every task perpetually

Your users don't want a chatbot—they want answers. Cortex powers intelligent, context-aware retrieval across knowledge bases, PDFs, Slack threads, and code. It recalls what the user has looked for before and why, making your product feel intuitive and magically helpful.

AI apps that understand & learn from context

Increase conversions and boost sales with AI that remembers every customer preference, intent, and signal. Cortext enables truly personalized discovery—surfacing what users are actually looking for, not what your product catalog wants to push. Think curated collections, smarter follow-ups, and higher AOV with no extra manual logic.

E-Commerce Copilots that remember preferences and drive revenue

Stateless agents are stuck on repeat. Cortex equips your AI agents with memory and adaptive recall, so they learn from past tasks and queries to evolve into intelligent collaborators. Whether it’s an autonomous workflow bot or a research assistant, your agents get extremely intelligent over time.

AI agents that improve with every task

Want to know more about us?

Get in touch
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